Clémentine Grethen

I'm a PhD student at IRIT in Toulouse, France, where I work on computer vision, with a focus on 3D reconstruction and image processing. More specifically, my research studies multi-view reconstruction and rendering techniques, motivated by challenges in autonomous navigation. I'm funded by an ESA (European Space Agency) OSIP grant and supervised by Géraldine Morin and Simone Gasparini.

Email  /  Scholar  /  Github

News

  • 01 2026: Lunar-G2R: a new paper on BRDF estimation [ArXiv]
  • 12 2025: I presented my work at CNRS 3D vision day in Paris [link]
  • 12 2025: StereoLunar V1 has been released! [Zenodo]
  • 10 2025: I presented LunarStereo and adaptation on MASt3R at ICCV 2025 in Honolulu! [arXiv]
  • 07 2025: Our paper on LunarStereo has been accepted to ICCV 3D-VAST 2025! [arXiv]
  • 06 2025:Our paper on moon landing has been presented at Orasis2025.
  • 10/2024: Started my PhD in IRIT Toulouse.

Research

2025

Lunar-G2R: Geometry-to-Reflectance Learning for High-Fidelity Lunar BRDF Estimation
Clémentine Grethen, Nicolas Menga, Roland Brochard, Simone Gasparini, Géraldine Morin, Jérémy Lebreton, Manuel Sanchez-Gestido
arXiv preprint, 2026
[arXiv]  /  [Dataset]

We propose Lunar-G2R, a geometry-to-reflectance learning framework for high-fidelity BRDF estimation of the lunar surface, leveraging large-scale supervised data under diverse illumination and viewing conditions.

Adapting Stereo Vision From Objects To 3D Lunar Surface Reconstruction with the StereoLunar Dataset
Clémentine Grethen, Simone Gasparini, Géraldine Morin, Jérémy Lebreton, Lucas Marti, Manuel Sanchez-Gestido
ICCV "From Street to Space", Honolulu 2025
[Paper]  /  [Project Page]  /  [StereoLunar Dataset]

We introduce LunarStereo, a photorealistic stereo image dataset of the Moon, and show that fine-tuning the MASt3R model enables accurate 3D reconstruction and pose estimation under lunar conditions, significantly outperforming baselines.

Mise en place d'une méthode de reconstruction 3D du sol lunaire à partir de plusieurs images dans un contexte d'atterrissage.
Clémentine Grethen,
Simone Gasparini,
Géraldine Morin
Orasis, 2025
HAL

The paper proposes a method for generating realistic images of the lunar surface and a method for 3D reconstruction of the lunar surface based on traditional techniques.


This website is inspired from Jon Barron's. Last updated July 2025.